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GenomeTrafac: a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs

机译:GenomeTrafac:用于检测与小鼠和人类基因直系同源基因之间保守的常规和microRNA编码基因相关的转录因子结合位点簇的全基因组资源

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摘要

Transcriptional cis-regulatory control regions frequently are found within non-coding DNA segments conserved across multi-species gene orthologs. Adopting a systematic gene-centric pipeline approach, we report here the development of a web-accessible database resource—GenomeTraFac (http://genometrafac.cchmc.org)—that allows genome-wide detection and characterization of compositionally similar cis-clusters that occur in gene orthologs between any two genomes for both microRNA genes as well as conventional RNA-encoding genes. Each ortholog gene pair can be scanned to visualize overall conserved sequence regions, and within these, the relative density of conserved cis-element motif clusters form graph peak structures. The results of these analyses can be mined en masse to identify most frequently represented cis-motifs in a list of genes. The system also provides a method for rapid evaluation and visualization of gene model-consistency between orthologs, and facilitates consideration of the potential impact of sequence variation in conserved non-coding regions to impact complex cis-element structures. Using the mouse and human genomes via the NCBI Reference Sequence database and the Sanger Institute miRBase, the system demonstrated the ability to identify validated transcription factor targets within promoter and distal genomic regulatory regions of both conventional and microRNA genes.
机译:转录顺式调控区域经常在跨多种物种直系同源基因保守的非编码DNA片段中发现。我们采用系统的以基因为中心的管道方法,在此报告了可通过网络访问的数据库资源GenomeTraFac(http://genometrafac.cchmc.org)的开发,该资源可在全基因组范围内检测和表征组成相似的顺式对于microRNA基因和常规RNA编码基因而言,它们都存在于任意两个基因组之间的直系同源基因中。可以扫描每个直系同源基因对以可视化总体上保守的序列区域,并且在其中,保守的顺式元件基序簇的相对密度形成图峰结构。可以大量挖掘这些分析的结果,以鉴定基因列表中最常见的顺式基序。该系统还提供了一种用于直系同源物之间基因模型一致性的快速评估和可视化的方法,并有助于考虑保守非编码区中序列变异对复杂顺式元件结构的潜在影响。通过NCBI参考序列数据库和Sanger Institute miRBase使用小鼠和人类基因组,该系统证明了在常规和microRNA基因的启动子和远端基因组调控区域内鉴定经过验证的转录因子靶标的能力。

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